January 25, 2017, 6PM: Creating Eloquent Code – Joe Wirtley

Location: IDCAST/UDRI, TechTown, 711 East Monument Avenue, Suite 101 in downtown Dayton. Google Map

If you’ve been programming long, you’ve had the experience of looking at your own code and struggling to understand it. Worse yet is trying to understand other people’s code. Every piece of code you write not only instructs the computer, it also informs human readers. What is it telling them? In this session, you will learn to listen to what your code is saying. You will see how choices about scope, visibility, coupling, and cohesion reveal themselves in your code. You will learn principles and practices for creating eloquent code. Examples will be in C#, but will be applicable to any object oriented language. You will come away with new ideas to make your code speak clearly and inspiration to be more mindful while writing code.

Bio: Joe Wirtley is an independent consultant who has been creating software for over twenty-five years. He works with .NET development teams on both desktop (WPF) and web (ASP.NET, JavaScript, Web API) applications. He is an active member of the developer community in southwest Ohio and helps lead the Dayton .NET Developer Group. He has presented at many user groups and conferences including CodeMash, devLink, Code PaLOUsa, and CodeStock. He is the author of the Generics in .NET screencast for O’Reilly. You can check out his site at http://WirtleyConsulting.com or follow him on Twitter: @JoeWirtley.

Grok Talk: Topic detection in unstructured text using Microsoft Cognitive Services – Steve Daum

A large amount of unstructured text data is stored in the world. Just think of emails, tweets, forum posts, and the many ’Notes’ columns found in our databases. More tools are becoming available to extract value from this data. A recent presentation introduced the Dayton .NET group to the Microsoft Cognitive Services API which include text analysis tools. This talk will demonstrate a real world use case of one of these APIs to do Topic Detection from unstructured text data.

Bio: Steve Daum is a software Developer with PQ Systems, Inc. In his current role, he develops thick client Windows software using the .NET platform. He has been developing software for almost 30 years.